Eigen is a reflection processing multitool.
Created through leveraging Lese's upcoming Impulse technologies, Eigen (a͡ɪ-ɡˈɛn) is able to perform three distinct functions, split into three different modes: Play, Render, and Analyze.
These three modes are able to perform a selection of different "space-aware" processes; Play does accurate early reflection processing in real-time, Render computes high-quality reverb impulse responses for you to use in convolution reverbs (or in Eigen itself, if you want), and Analyse checks your virtual space to see how sound resonates against it.
The Room sliders let you set the room's dimensions for width, length and height. The cuboid display above will adapt to show you the shape you're creating.
You can choose the Wall Material for the six surfaces, from a range of wood, concrete, brick and curtain options, to make acoustic reflections behave differently throughout the space.
For musical reverb, you can create spaces from a small vocal booth through a wooden drum room to a stone cathedral. For sound design, you can simulate a concrete corridor, a tall staircase or a brick warehouse.
Select exactly where the sound source and the listener are placed within your space using X, Y and Z co-ordinate sliders, just like the wall dimension selectors.
Choose whether the virtual reverb signal is behaving in Mono, Stereo or Binaural, depending on whether you have a stereo source and how you want the reverb to come across.
In the Render tab, you can export your space for use in a convolution processor, excellent for sound design or video applications, switching to another program, or simply keeping great-sounding spaces for later use. (Eigen also saves presets normally like any other plugin).
Part of a room's 'sound' and character is caused by the build-up of frequency resonances, caused by the physical dimensions of the room itself – literally the distances between the walls. In Eigen, you can instantly analyze how your chosen dimensions and materials combine into a unique sonic signature, thanks to the low-frequency analyzer.
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